TropMol: A Cloud-based web tool for virtual screening and early-stage prediction of acetylcholinesterase inhibitors using machine learning

Key Points

• The aim is to develop a web tool that facilitates virtual screening and prediction of acetylcholinesterase inhibitors for Alzheimer's disease.
• Utilized machine learning algorithms for predictive modeling
• Conducted virtual screening to identify potential inhibitors
• Analyzed Alzheimer’s disease-related data
• Demonstrated high accuracy in predicting effective inhibitors
• Enabled rapid identification of potential drug candidates for Alzheimer's treatment